This monograph presents the author's studies in music recognition aimed at developing a computer system for automatic notation of performed music. The performance of such a system is supposed to be similar to that of speech recognition systems: acoustical data at the input and music scoreprinting at the output. The approach to pattern recognition employed is thatof artificial perception, based on self-organizing input data in order to segregate patterns before their identification by artificial intelligencemethods. The special merit of the approach is that it finds optimal representations of data instead of directly recognizing patterns.

Bibliographic Information

Book Title: Artificial Perception and Music Recognition
Editors: Andranick S. Tanguiane
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/BFb0019384
Publisher: Springer Berlin, Heidelberg
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1993
Softcover ISBN: 978-3-540-57394-4Published: 20 October 1993
eBook ISBN: 978-3-540-48127-0Published: 22 November 2005
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 210
Topics: Pattern Recognition, Artificial Intelligence, Data Storage Representation, Communications Engineering, Networks

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